Towards Universally Designed Communication: Opportunities and Challenges in the Use of Automatic Speech Recognition Systems to Support Access, Understanding and Use of Information in Communicative Settings

Abstract

Unlike physical barriers, communication barriers do not have an easy solution: people speak or sign in different languages and may have wide-ranging proficiency levels in the languages they understand and produce. Universal Design (UD) principles in the domain of language and communication have guided the production of multimodal (audio, visual, written) information. For example, UD guidelines encourage websites to provide information in alternative formats (for example, a video with captions; a sign language version). The same UD for Learning principles apply in the classroom, and instructors are encouraged to prepare content to be presented multimodally, making use of increasingly available technology. In this chapter, I will address some of the opportunities and challenges offered by automatic speech recognition (ASR) systems. These systems have many strengths, and the most evident is the time they employ to convert speech sounds into a written form, faster than the time human transcribers need to perform the same process. These systems also present weaknesses, for example, a higher rate of errors when compared to human-generated transcriptions. It is essential to weigh the strengths and weaknesses of technology when choosing which device(s) to use in a universally designed environment to enhance access to information and communication. It is equally imperative to understand which tools are most appropriate for diverse populations. Therefore, researchers should continue investigating how people process information in a multimodal format, and how technology can be improved based on this knowledge and users’ needs and feedback.